I am a PhD student advised by Prof. Kevin Skadron at the Computer Science Department, University of Virginia. My research focuses on acceleration using intelligent memory systems, and enabling the adoption of Processing in memory (PIM) architectures.

You can find my resume here

Education

• B.Tech., Electronics & Communication Engineering, Indian Institute of Technology (IIT) Roorkee, 2020
• Ph.D in Computer Architecture, University of Virginia, 2027 (expected)

Publications

Real-time minimum energy point tracking using a predetermined optimal voltage setting strategy

K. Kiyawat, Y. Masuda, J. Shiomi and T. Ishihara, "Real-Time Minimum Energy Point Tracking Using a Predetermined Optimal Voltage Setting Strategy", 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 415-421, 2020.

An Efficient Scaling-Free Folded Hyperbolic CORDIC Design Using a Novel Low-Complexity Power-of-2 Taylor Series Approximation

A. Verma, K. Kiyawat, B. P. Das and P. K. Meher, "An Efficient Scaling-Free Folded Hyperbolic CORDIC Design Using a Novel Low-Complexity Power-of-2 Taylor Series Approximation," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 31, no. 8, pp. 1167-1177, Aug. 2023.

Talks

Open-Source Processing-in-Memory (PiM) Architecture Design through FPGA Emulation: A Case Study Modeling Sieve

June 18, 2023

Presentation at Open-Source Computer Architecture Research Workshop at ISCA, 2023, Orlando, Florida

Service and leadership

• Co-organizing Systems-Interest-Group meetings to facilitate collaboration and discussions spanning across systems research at the University of Virginia.